Chunyan Xu

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 790 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 163 citations into it; #5,163 of 21,575 by trust here, #4,555 by citations
• Artificial Intelligence — 52 citations into it
• Media Technology — 44 citations into it; #2,420 of 3,621 by trust here, #1,598 by citations
• Model Architectures — 27 citations into it
• Biomedical Engineering — 20 citations into it
• Aerospace Engineering — 14 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Computational Mechanics — 11 citations into it

Whom Chunyan Xu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Karen Simonyan
6. Yann LeCun
7. Yoshua Bengio
8. Diederik P. Kingma
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Chunyan Xu overall

1. Simon Vandenhende
2. Saeed Anwar
3. Yulun Zhang
4. Kai Zhang
5. Zheng Hui
6. Jie Liu
7. Haokui Zhang
8. Menelaos Kanakis
9. Luc Van Gool

Papers from Chunyan Xu's perspective

Ordered by how strongly the researchers Chunyan Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• MemNet: A Persistent Memory Network for Image Restoration (2017) — 1,738 citations
• Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation (2019) — 322 citations
• Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation (2018) — 234 citations
• Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition (2018) — 187 citations
• Convolutional neural networks for hyperspectral image classification (2017) — 609 citations